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CEO of OpenAI Sam Altman and President Sally Kornbluth engage in a conversation about the potential trends in AI.

Artificial Intelligence, Business and management, Careers, Community, Ethics, History of science, Human-computer interaction, Innovation and Entrepreneurship (I&E), Invention, Labor and jobs, Machine learning, MIT Schwarzman College of Computing, MIT Sloan School of Management, President Sally Kornbluth, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Special events and guest speakers, Sustainability, Technology and society, UncategorizedMay 7, 202449Views0Likes0Comments

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These Unattractive Outfits Mislead AI Face-Recognition Devices to Maintain Your Anonymity.

AI, Artificial Intelligence, Business, facial recognition, Industry, UncategorizedMay 6, 202443Views0Likes0Comments
As artificial intelligence (AI) continues to be used widely for surveillance in public places, concerns are rising about increasing intrusions into personal privacy. As a response, an Italian startup called Cap_able has created a line of anti-facial recognition clothing designed to protect wearers from AI software without having to cover their faces. Its unique designs…

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Researchers from Carnegie Mellon University Suggest a Dispersed Data Approaching Technique: Unmasking the Mismatch Between Deep Learning Structures and General Transport Partial Differential Equations.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Deep Learning, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 6, 202443Views0Likes0Comments
Generic transport equations, which consist of time-dependent partial differential equations (PDEs), model the movement of extensive properties like mass, momentum, and energy in physical systems. Originating from conservation laws, such equations shed light on a range of physical phenomena, extending from mass diffusion to Navier-Stokes equations. In science and engineering fields, these PDEs can be…

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A Synopsis of Three Leading Models for Motion Planning based on Graph Neural Network Systems.

AI Shorts, Applications, Artificial Intelligence, Computer vision, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 6, 202441Views0Likes0Comments
The application of Graph Neural Network (GNN) for motion planning in robotic systems has surfaced as an innovative solution for efficient strategy formation and navigation. Using GNN, this approach can assess the graph structure of an environment to make quick and informed decisions regarding the best path for a robot to take. Three major systems…

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Predibase Researchers Unveil a Detailed Report on 310 Optimized LLMs that Compete with GPT-4

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 6, 202437Views0Likes0Comments
Natural Language Processing (NLP) is an evolving field in which large language models (LLMs) are becoming increasingly important. The fine-tuning of these models has emerged as a critical process for enhancing their specific functionalities without imposing substantial computational demands. In this regard, researchers have been focusing on LLM modifications to ensure optimal performance even with…

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The technique “PLAN-SEQ-LEARN” merges the far-reaching analytical capacities of language models with the proficiency of acquired reinforcement learning (RL) policies in a machine learning approach.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 6, 202436Views0Likes0Comments
Significant advancements have been made in the field of robotics research with the integration of large language models (LLMs) into robotic systems. This development has enabled robots to better tackle complex tasks that demand detailed planning and sophisticated manipulation, bridging the gap between high-level planning and robotic control. However, challenges persist in transforming the remarkable…

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NVIDIA AI Introduces ‘NeMo-Aligner’, a Publicly Accessible Tool that Uses Effective Reinforcement Learning to Transform Large Language Model Alignment.

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Tech News, Technology, UncategorizedMay 6, 202443Views0Likes0Comments
Researchers in the field of large language models (LLMs) are focused on training these models to respond more effectively to human-generated text. This requires aligning the models with human preferences, reducing bias, and ensuring the generation of useful and safe responses, a task often achieved through supervised fine-tuning and complex pipelines like reinforcement learning from…

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NASGraph: A Unique Graph-based Machine Learning Approach for NAS Characterized by Lightweight (CPU-only) Processing, Data-Independence and No Training Required

AI Paper Summary, AI Shorts, Applications, Artificial Intelligence, Editors Pick, Machine learning, Staff, Tech News, Technology, UncategorizedMay 6, 202432Views0Likes0Comments
Neural Architecture Search (NAS) is a method used by researchers to automate the development of optimal neural network architectures. These architectures are created for a specific task and are then evaluated against a performance metric on a validation dataset. However, earlier NAS methods encountered several issues due to the need to extensively train each candidate…

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Creating the policy for the future.

Artificial Intelligence, Collaboration, Data, Graduate, Hackathon, Housing, IDSS, MIT Schwarzman College of Computing, Policy, postdoctoral, Special events and guest speakers, Students, Technology and policy, UncategorizedMay 6, 202442Views0Likes0Comments
First-year students in the Social and Engineering Systems (SES) doctoral program at MIT, Eric Liu and Ashely Peake, are interested in investigating housing inequality issues. They took the opportunity to conduct hands-on research on real-world problems at the MIT Policy Hackathon, an event that invites participants globally to find potential solutions to societal challenges. This…

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Unlocking the Secrets of Transformer Language Models: Progress in Understandability Research

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Language Model, Large Language Model, Staff, Technology, UncategorizedMay 6, 202440Views0Likes0Comments
The recent rise in prominent transformer-based language models (LMs) has underscored the need for research into their workings. Understanding these mechanisms is essential for the safety, fairness, reduction of biases and errors of advanced AI systems, particularly in critical contexts. Therefore, there has been an increase in research within the Natural Language Processing (NLP) community,…

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Top-notch Python Courses for Mastering Machine Learning

AI Shorts, Applications, Artificial Intelligence, Editors Pick, Staff, Tech News, Technology, UncategorizedMay 6, 202439Views0Likes0Comments
The rising demand for AI and Machine Learning (ML) has placed an emphasis on ML expertise in the current job market, elevating the significance of Python as a primary programming language for ML tasks. Adaptive courses in ML using Python are emerging as a vital tool for professionals looking to enhance their skills, switch careers,…

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